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pcst-fast-matlab

• pcst-fast-matlab contains a MATLAB mex interface to pcs-fast.

• pcst-fast is a fast approximation algorithm for the PCST/F (prize collecting Steiner tree/forest) problem, which can be used in the problem inducing structured sparsity. The original project is implemented in C++. I write a MATLAB MEX file based interface for using it in my MATLAB based academic project (which will be released later).

Usage

Run make_mexfiles; in MATLAB console to produce .mex* files.

You can solve PCST/F problem by calling [~,~] = pcst_entry_mex(...); in your MATLAB code.

Several testing cases in test_script.m will help to learn how to use pcst_entry_mex().

In pcst_entry_mex.cc and script_pcst.m, you can find detailed comments about the function interface and meaning of the variables.

Note

• The main contribution of this project is on the MATLAB MEX interface, including pcst_entry_mex.cc and script_pcst.m

• Please check the original project page for more information, including the algorithm details, related academic papers and the license info.

Related Papers and Projects

• Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi. Self-paced Kernel Estimation for Robust Blind Image Deblurring. In IEEE International Conference on Computer Vision (ICCV), 2017.
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